CerberusAI
Protecting APIs from advanced threats
Introduction
CerberusAI is a cybersecurity platform designed to protect APIs and application interfaces from sophisticated attacks, fraud, and abuse. It embeds directly into applications to capture enriched request data, analyze endpoint logic with large language models, and detect anomalies using advanced machine learning. By pairing high-fidelity detection with flexible remediation tools, CerberusAI enables organizations to stop threats quickly while reducing false positives and operational friction.
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Problem
CerberusAI addresses the growing gap in cybersecurity at the application layer, where APIs are increasingly targeted for data theft, fraud, and system abuse. Existing defenses like Web Application Firewalls offer limited context, can’t reliably track malicious actors across services, and are ill-prepared for abuse by autonomous AI agents. As API use and AI-driven interactions surge, organizations face escalating risks from sophisticated, logic-aware attacks that bypass traditional perimeter tools, leaving critical systems exposed.
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Opportunity
CerberusAI is building an AI-powered API security platform that embeds directly into application codebases, enabling rich telemetry collection, semantic analysis of API logic, and cross-service user tracking. By combining large language model–driven code understanding with machine learning–based anomaly detection, it can identify and prioritize threats that traditional, traffic-only tools miss. The platform also offers flexible remediation options, from programmatic integrations to no-code workflows, allowing both technical and non-technical teams to rapidly respond to suspicious activity.
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